Natural Language Processing and Technical Challenges of Influenza-Like Illness Surveillance

Dino P. Rumoro, Gillian S. Gibbs, Shital C. Shah, Marilyn M. Hallock, Gordon M. Trenholme, Michael J. Waddell, Joseph P. Bernstein

Abstract


Processing free-text clinical information in an electronic medical record may enhance surveillance systems for early identification of influenza-like illness outbreaks. However, processing clinical text using natural language processing (NLP) poses a challenge in preserving the semantics of the original information recorded. In this study, we discuss several NLP and technical issues as well as potential solutions for implementation in syndromic surveillance systems.


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DOI: https://doi.org/10.5210/ojphi.v8i1.6575



Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org